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Operation intelligent decision-making system for high myopia cataract and an establishment method thereof

A technology of intelligent decision-making and establishment of methods, applied in the field of medical artificial intelligence, to achieve the effect of bridging the gap in diagnosis and treatment, high social value, and wide service targets

Pending Publication Date: 2020-05-26
EYE & ENT HOSPITAL SHANGHAI MEDICAL SCHOOL FUDAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, there is currently no system suitable for high myopia cataract, which can quickly and accurately identify the cataract degree and fundus condition of high myopia cataract patients, and provide comprehensive surgical decision-making system for doctors

Method used

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  • Operation intelligent decision-making system for high myopia cataract and an establishment method thereof
  • Operation intelligent decision-making system for high myopia cataract and an establishment method thereof
  • Operation intelligent decision-making system for high myopia cataract and an establishment method thereof

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Embodiment 1

[0045] Embodiment 1 The present invention is applicable to the establishment flow of the surgical intelligent decision-making system for high myopia cataract

[0046] The present invention is applicable to the establishment process of the operation intelligent decision-making system of high myopia cataract as follows figure 1 As shown, the details are as follows:

[0047] 1. Construct the deep learning model of the surgical intelligent decision-making system, which consists of two networks of evaluation and decision-making. The evaluation network can make LOCSIII grading and Emery nuclear hardness grading according to the degree of lens opacity and nuclear color of the anterior segment image, and can also make type and degree assessment of fundus lesions according to OCT results ( figure 2 ), including the LOCSIII grading deep learning model of lens opacity, the Emery nuclear hardness grading deep learning model, and the fundus judgment model. The LOCSIII hierarchical deep ...

Embodiment 2

[0050] Embodiment 2 The surgical intelligent decision-making system suitable for high myopia cataract of the present invention

[0051] See Figure 4 , Figure 4 It is a structural block diagram of the intelligent decision-making system for highly myopic cataract surgery of the present invention. The intelligent decision-making system for highly myopic cataract surgery includes a storage device 1 , an evaluation module 2 , a decision-making module 3 and a test evaluation adjustment module 4 .

[0052] Storage device 1: used to store training set information, including basic patient information, visual acuity, intraocular pressure, A-ultrasound / IOLmaster report (eye axis length, anterior chamber depth, etc.), corneal endothelial count, corneal astigmatism, B-ultrasound report, Section photography (oblique and rear photos), fundus OCT, professional doctor’s diagnosis (normal or cataract, cataract LOCSIII classification, Emery nuclear hardness classification, fundus OCT interpr...

Embodiment 3

[0059] Patient Li, female, 43 years old, had blurred vision in her right eye for 1 year. She visited a community hospital. The doctor checked her binocular vision, A-ultrasound, intraocular pressure, corneal astigmatism, corneal endothelial count, B-ultrasound report, and took photos of the anterior segment. , OCT photos. The corrected visual acuity was 0.2 for the right eye and 0.8 for the left eye. The axial length of the eye was 27.1 mm for the right eye and 22.3 mm for the left eye. The intraocular pressure and endothelial count were normal. The doctor enters the patient information and clinical data into the intelligent decision-making system for high myopia cataract surgery of the present invention, and the system evaluation result is: high myopia cataract of the right eye (cataract degree: C2N3, nuclear hardness IV, surgery is required, recommendation index: 8 grades) (A total of 10 grades, the higher the degree, the more recommended)), fundus (normal); left eye is norm...

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Abstract

The invention relates to an operation intelligent decision-making system suitable for high myopia cataract and an establishment method thereof. The establishment method comprises the following steps:constructing a deep learning model being composed of an evaluation network and a decision network, configuring evaluation network to comprise a LOCSIII grading deep learning model, an Elasticity kernel hardness grading deep learning model and a fundus judgment model, and configuring the decision network to combine the cataract degree and fundus grading with patient basic information, eyesight, intraocular pressure, an A-ultrasonic / IOLmaster report, corneal endothelium counting, corneal astigmatism, a B-ultrasonic report and other information, map the information to a high-dimensional space through a kernel function, and then establish a linear regression model; constructing a training set; and carrying out training learning and parameter adjustment on the model by using a training set. Thesystem comprises a storage device, an evaluation module, a decision module and a test evaluation adjustment module. The method can quickly and accurately identify the cataract degree and fundus conditions of a high myopia cataract patient, provide comprehensive operation decisions for doctors, and improve the prevention and treatment homogeneity.

Description

technical field [0001] The invention belongs to the technical field of medical artificial intelligence, and relates to an ophthalmic artificial intelligence operation decision system, in particular to an operation intelligent decision system suitable for high myopia cataract and its establishment method. Background technique [0002] High myopia cataract refers to the cataract whose axial length is greater than or equal to 26mm. Research shows that the incidence rate has exceeded 30% of cataract patients in tertiary hospitals, and it is increasing year by year. High myopia cataract mostly occurs in the nucleus of the lens or under the posterior capsule. Because it is located in the concentrated area where light passes, it can affect vision in the early stage. Surgical decision-making for high myopia cataract is very important. Too aggressive treatment may cause unnecessary interference to the patient's fundus, accelerate fundus lesions, or greatly affect the patient's origin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G16H20/40
CPCG16H50/20G16H50/70G16H20/40
Inventor 竺向佳孟佳琪卢奕丁大勇
Owner EYE & ENT HOSPITAL SHANGHAI MEDICAL SCHOOL FUDAN UNIV
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